Role Description :
We are seeking an experienced Gen AI Testing Lead to join our team in Chennai. This is a full-time, on-site leadership position responsible for defining, implementing, and executing comprehensive testing strategies for Generative AI applications and Large Language Model (LLM)-based solutions. You will oversee test planning, automation, and execution, ensuring that AI-driven systems meet performance, security, compliance, and functional requirements.
You will work closely with AI / ML engineers, data scientists, product managers, and quality teams to validate AI models, optimize testing frameworks, and maintain robust quality standards across the product lifecycle.
Key Responsibilities :
- Lead the end-to-end testing lifecycle for Gen AI and LLM-based applications, from test strategy definition to execution and reporting.
- Develop, maintain, and optimize manual and automated test cases tailored for AI / ML workloads, model pipelines, and prompt engineering scenarios.
- Conduct functional, performance, security, and compliance testing for LLM deployments.
- Validate AI / ML architecture components, ensuring model outputs meet accuracy, bias, interpretability, and safety benchmarks.
- Implement Gen AI security testing methodologies to detect prompt injection, data leakage, adversarial attacks, and other vulnerabilities.
- Ensure regulatory and ethical compliance for AI systems, particularly in sensitive domains such as Life Sciences.
- Collaborate with AI researchers to assess LLM fine-tuning, model versioning, and inference behavior against expected outcomes.
- Monitor model drift and data quality, recommending improvements to maintain high-performance levels.
- Document testing procedures, results, and lessons learned to support continuous improvement.
Qualifications :
6+ years of experience in software testing, with a focus on AI / ML or advanced technology domains.Strong analytical skills and problem-solving abilities for complex AI workflows.Proven expertise in test case design, execution, and automation frameworks.Proficiency in Generative AI, LLM architectures, and prompt engineering methodologies.Experience with Gen AI security testing and compliance frameworks for AI governance.Hands-on experience with AI / ML architecture validation and model testing.Familiarity with Life Sciences domain compliance requirements is a strong plus.Excellent verbal and written communication skills for cross-functional collaboration.Bachelors degree in Computer Science, Information Technology, or related field; advanced degree preferred.(ref : hirist.tech)